Пример #1
0
                                          'SpeciesConc',
                                          bmk_seasons,
                                          is_gcc=True)
        gcc_vs_gcc_devspc = get_filepaths(gcc_vs_gcc_devdir,
                                          'SpeciesConc',
                                          bmk_seasons,
                                          is_gcc=True)

        # Create seasonal concentration plots
        for s in range(bmk_nseasons):
            mon_yr_str = bmk_seasons_names[s]
            sigdiff_files = gcc_vs_gcc_sigdiff[mon_yr_str]
            bmk.make_benchmark_conc_plots(gcc_vs_gcc_refspc[s],
                                          gcc_vs_gcc_refstr,
                                          gcc_vs_gcc_devspc[s],
                                          gcc_vs_gcc_devstr,
                                          dst=gcc_vs_gcc_plotsdir,
                                          subdst=mon_yr_str,
                                          overwrite=True,
                                          sigdiff_files=sigdiff_files)

    if plot_emis:
        # --------------------------------------------------------------
        # GCC vs GCC emissions plots
        # --------------------------------------------------------------
        print('\n%%% Creating GCC vs. GCC emissions plots %%%')

        # File lists for emissions data (seasonal)
        gcc_vs_gcc_refhco = get_filepaths(gcc_vs_gcc_refdir,
                                          'Emissions',
                                          bmk_seasons,
                                          is_gcc=True)
Пример #2
0
            devtime = bmk_mons_dev[t]
            datestr = bmk_mon_yr_strs_dev[t]

            # Seasonal diagnostic collection files to read
            ref = get_filepath(gcc_vs_gcc_refdir, col, reftime)
            dev = get_filepath(gcc_vs_gcc_devdir, col, devtime)
            refmet = get_filepath(gcc_vs_gcc_refdir, colmet, reftime)
            devmet = get_filepath(gcc_vs_gcc_devdir, colmet, devtime)

            bmk.make_benchmark_conc_plots(ref,
                                          gcc_vs_gcc_refstr,
                                          dev,
                                          gcc_vs_gcc_devstr,
                                          refmet=refmet,
                                          devmet=devmet,
                                          dst=gcc_vs_gcc_resultsdir,
                                          subdst=datestr,
                                          weightsdir=weightsdir,
                                          benchmark_type=bmk_type,
                                          restrict_cats=restrict_cats,
                                          overwrite=True,
                                          spcdb_dir=spcdb_dir)

    # --------------------------------------------------------------
    # GCC vs GCC wet deposition plots
    # --------------------------------------------------------------
    if plot_wetdep:
        print("\n%%% Creating GCC vs. GCC wet deposition plots %%%")

        # Diagnostic collection files to read
        cols = ["WetLossConv", "WetLossLS"]
Пример #3
0
        col = "SpeciesConc"
        ref = get_filepath(gcc_vs_gcc_refdir, col, gcc_date)
        dev = get_filepath(gcc_vs_gcc_devdir, col, gcc_date)

        # Meteorology data needed for calculations
        colmet = "StateMet"
        refmet = get_filepath(gcc_vs_gcc_refdir, colmet, gcc_date)
        devmet = get_filepath(gcc_vs_gcc_devdir, colmet, gcc_date)

        # Make concentration plots
        bmk.make_benchmark_conc_plots(ref,
                                      gcc_vs_gcc_refstr,
                                      dev,
                                      gcc_vs_gcc_devstr,
                                      refmet=refmet,
                                      devmet=devmet,
                                      dst=gcc_vs_gcc_resultsdir,
                                      weightsdir=weightsdir,
                                      plot_by_spc_cat=plot_by_spc_cat,
                                      overwrite=True,
                                      sigdiff_files=gcc_vs_gcc_sigdiff,
                                      spcdb_dir=spcdb_dir)

    #---------------------------------------------------------------
    # GCC vs. GCC emissions plots
    #---------------------------------------------------------------
    if plot_emis:
        print("\n%%% Creating GCC vs. GCC emissions plots %%%")

        # Diagnostic collection files to read
        col = "Emissions"
        ref = get_filepath(gcc_vs_gcc_refdir, col, gcc_date)
Пример #4
0
        colmet = "StateMet"

        # Create concentration plots for each benchmark month
        for s, bmk_mon in enumerate(bmk_mons):

            ref = get_filepath(gcc_vs_gcc_refdir, col, bmk_mon)
            dev = get_filepath(gcc_vs_gcc_devdir, col, bmk_mon)
            refmet = get_filepath(gcc_vs_gcc_refdir, colmet, bmk_mon)
            devmet = get_filepath(gcc_vs_gcc_devdir, colmet, bmk_mon)
            bmk.make_benchmark_conc_plots(ref,
                                          gcc_vs_gcc_refstr,
                                          dev,
                                          gcc_vs_gcc_devstr,
                                          refmet=refmet,
                                          devmet=devmet,
                                          dst=gcc_vs_gcc_resultsdir,
                                          subdst=bmk_mon_yr_strs[s],
                                          weightsdir=weightsdir,
                                          benchmark_type=bmk_type,
                                          plot_by_spc_cat=plot_by_spc_cat,
                                          overwrite=True,
                                          spcdb_dir=spcdb_dir)

    # --------------------------------------------------------------
    # GCC vs GCC emissions plots
    # --------------------------------------------------------------
    if plot_emis:
        print("\n%%% Creating GCC vs. GCC emissions plots %%%")

        # Diagnostic collections to read
        col = "Emissions"
Пример #5
0
devaod = os.path.join(devdir, gchp_aodfile)

refrst = os.path.join(refdir, gchp_rstfile)
devrst = os.path.join(devdir, gchp_rstfile)

if plot_rst:
    # Concentration plots
    # (includes lumped species and separates by category)
    print('\n%%% Creating GCHP vs. GCHP restart file plots %%%')
    bmk.make_benchmark_conc_plots(refrst,
                                  refstr,
                                  devrst,
                                  devstr,
                                  dst=plotsdir,
                                  subdst='restart_file_comparison',
                                  overwrite=True,
                                  use_cmap_RdBu=False,
                                  is_restart_file=True,
                                  cmpres=cmpres,
                                  dev_sg_params=dev_sg_params,
                                  x_extent=roi_x,
                                  y_extent=roi_y)

if plot_conc:
    # Concentration plots
    # (includes lumped species and separates by category)
    print('\n%%% Creating GCHP vs. GCHP concentration plots %%%')
    bmk.make_benchmark_conc_plots(refspc,
                                  refstr,
                                  devspc,
                                  devstr,
Пример #6
0
def run_benchmark(config):
    # This script has a fixed benchmark type, year, and months
    bmk_type = "TransportTracersBenchmark"
    bmk_year_ref = "2019"
    bmk_year_dev = "2019"
    bmk_mon_strs = ["Jan", "Apr", "Jul", "Oct"]
    bmk_mon_inds = [0, 3, 6, 9]
    bmk_n_months = len(bmk_mon_strs)

    ########################################################################
    ###           CONFIGURABLE SETTINGS: ***EDIT AS NEEDED***            ###
    ########################################################################

    # ======================================================================
    # Benchmark information
    # Note: When doing GCHP vs GCC comparisions gchp_dev will be compared
    # to gcc_dev (not gcc_ref!).
    # ======================================================================

    # Path to species_databse.yml
    spcdb_dir = join(config["paths"]["main_dir"],
                     config["data"]["dev"]["gcc"]["version"])

    # ======================================================================
    # Data directories
    # For gchp_vs_gcc_refdir use config["data"]["dev"]["gcc"]["version"], not ref (mps, 6/27/19)
    # ======================================================================

    # Diagnostic file directory paths
    gcc_vs_gcc_refdir = join(
        config["paths"]["main_dir"],
        config["data"]["ref"]["gcc"]["version"],
        config["data"]["ref"]["gcc"]["subdir"],
    )
    gcc_vs_gcc_devdir = join(
        config["paths"]["main_dir"],
        config["data"]["dev"]["gcc"]["version"],
        config["data"]["dev"]["gcc"]["subdir"],
    )
    gchp_vs_gcc_refdir = join(
        config["paths"]["main_dir"],
        config["data"]["dev"]["gcc"]["version"],
        config["data"]["dev"]["gcc"]["subdir"],
    )
    gchp_vs_gcc_devdir = join(
        config["paths"]["main_dir"],
        config["data"]["dev"]["gchp"]["version"],
        config["data"]["dev"]["gchp"]["subdir"],
    )
    gchp_vs_gchp_refdir = join(
        config["paths"]["main_dir"],
        config["data"]["ref"]["gchp"]["version"],
        config["data"]["ref"]["gchp"]["subdir"],
    )
    gchp_vs_gchp_devdir = join(
        config["paths"]["main_dir"],
        config["data"]["dev"]["gchp"]["version"],
        config["data"]["dev"]["gchp"]["subdir"],
    )

    # Restart file directory paths
    gcc_vs_gcc_refrstdir = join(config["paths"]["main_dir"],
                                config["data"]["ref"]["gcc"]["version"],
                                "restarts")
    gcc_vs_gcc_devrstdir = join(config["paths"]["main_dir"],
                                config["data"]["dev"]["gcc"]["version"],
                                "restarts")
    gchp_vs_gcc_refrstdir = join(config["paths"]["main_dir"],
                                 config["data"]["dev"]["gcc"]["version"],
                                 "restarts")
    gchp_vs_gcc_devrstdir = join(config["paths"]["main_dir"],
                                 config["data"]["dev"]["gchp"]["version"])
    gchp_vs_gchp_refrstdir = join(config["paths"]["main_dir"],
                                  config["data"]["ref"]["gchp"]["version"])
    gchp_vs_gchp_devrstdir = join(config["paths"]["main_dir"],
                                  config["data"]["dev"]["gchp"]["version"])

    # Plots directories
    if config["options"]["gcpy_test"]:
        mainresultsdir = join(".", config["paths"]["results_dir"])
        gcc_vs_gcc_resultsdir = join(
            mainresultsdir,
            config["options"]["comparisons"]["gcc_vs_gcc"]["dir"])
        gchp_vs_gcc_resultsdir = join(
            mainresultsdir,
            config["options"]["comparisons"]["gchp_vs_gcc"]["dir"])
        gchp_vs_gchp_resultsdir = join(
            mainresultsdir,
            config["options"]["comparisons"]["gcc_vs_gcc"]["dir"])
        if not exists(mainresultsdir):
            os.mkdir(mainresultsdir)
        # Make copy of benchmark script in results directory
        curfile = os.path.realpath(__file__)
        dest = join(mainresultsdir, curfile.split("/")[-1])
        if not exists(dest):
            copyfile(curfile, dest)

    else:
        gcc_vs_gcc_resultsdir = join(
            config["paths"]["main_dir"],
            config["data"]["dev"]["gcc"]["version"],
            config["paths"]["results_dir"],
        )
        gchp_vs_gchp_resultsdir = join(
            config["paths"]["main_dir"],
            config["data"]["dev"]["gchp"]["version"],
            config["paths"]["results_dir"],
            config["options"]["comparisons"]["gcc_vs_gcc"]["dir"],
        )
        gchp_vs_gcc_resultsdir = join(
            config["paths"]["main_dir"],
            config["data"]["dev"]["gchp"]["version"],
            config["paths"]["results_dir"],
            config["options"]["comparisons"]["gchp_vs_gcc"]["dir"],
        )
        base_gchp_resultsdir = join(
            config["paths"]["main_dir"],
            config["data"]["dev"]["gchp"]["version"],
            config["paths"]["results_dir"],
        )
        # make results directories that don't exist
        for resdir, plotting_type in zip(
            [
                gcc_vs_gcc_resultsdir,
                base_gchp_resultsdir,
                gchp_vs_gchp_resultsdir,
                gchp_vs_gcc_resultsdir,
            ],
            [
                config["options"]["comparisons"]["gcc_vs_gcc"]["run"],
                config["options"]["comparisons"]["gchp_vs_gcc"]["run"]
                or config["options"]["comparisons"]["gchp_vs_gchp"]["run"],
                config["options"]["comparisons"]["gchp_vs_gchp"]["run"],
                config["options"]["comparisons"]["gchp_vs_gcc"]["run"],
            ],
        ):
            if plotting_type and not exists(resdir):
                os.mkdir(resdir)
            if resdir in [gcc_vs_gcc_resultsdir, base_gchp_resultsdir]:
                # Make copy of benchmark script in results directory
                curfile = os.path.realpath(__file__)
                dest = join(resdir, curfile.split("/")[-1])
                if not exists(dest):
                    copyfile(curfile, dest)

    # Tables directories
    gcc_vs_gcc_tablesdir = join(
        gcc_vs_gcc_resultsdir,
        config["options"]["comparisons"]["gcc_vs_gcc"]["tables_subdir"],
    )
    gchp_vs_gcc_tablesdir = join(
        gchp_vs_gcc_resultsdir,
        config["options"]["comparisons"]["gchp_vs_gcc"]["tables_subdir"],
    )
    gchp_vs_gchp_tablesdir = join(
        gchp_vs_gchp_resultsdir,
        config["options"]["comparisons"]["gchp_vs_gchp"]["tables_subdir"],
    )

    # ======================================================================
    # Plot title strings
    # For gchp_vs_gcc_refstr use config["data"]["dev"]["gcc"]["version"], not ref (mps, 6/27/19)
    # ======================================================================
    gcc_vs_gcc_refstr = config["data"]["ref"]["gcc"]["version"]
    gcc_vs_gcc_devstr = config["data"]["dev"]["gcc"]["version"]
    gchp_vs_gcc_refstr = config["data"]["dev"]["gcc"]["version"]
    gchp_vs_gcc_devstr = config["data"]["dev"]["gchp"]["version"]
    gchp_vs_gchp_refstr = config["data"]["ref"]["gchp"]["version"]
    gchp_vs_gchp_devstr = config["data"]["dev"]["gchp"]["version"]

    ########################################################################
    ###    THE REST OF THESE SETTINGS SHOULD NOT NEED TO BE CHANGED      ###
    ########################################################################

    # ======================================================================
    # Dates and times -- Ref data
    # ======================================================================

    # Month/year strings for use in tabl4e subdirectories (e.g. Jan2016)
    bmk_mon_yr_strs_ref = [v + bmk_year_ref for v in bmk_mon_strs]

    # Get all months array of start datetimes for benchmark year
    bmk_start_ref = np.datetime64(bmk_year_ref + "-01-01")
    bmk_end_ref = np.datetime64("{}-01-01".format(int(bmk_year_ref) + 1))
    all_months_ref = np.arange(bmk_start_ref,
                               bmk_end_ref,
                               step=np.timedelta64(1, "M"),
                               dtype="datetime64[M]")
    all_months_gchp_ref = all_months_ref

    # Overwrite all_months_gchp_ref if GCHP ref is legacy filename format.
    # Legacy format uses time-averaging period mid-point not start.
    if config["data"]["ref"]["gchp"]["is_legacy"]:
        sec_per_yr_ref = 0
        all_months_gchp_ref = np.zeros(12, dtype="datetime64[h]")
        for t in range(12):
            days_in_mon = monthrange(int(bmk_year_ref), t + 1)[1]
            sec_per_yr_ref += days_in_mon * 86400.0
            middle_hr = int(days_in_mon * 24 / 2)
            delta = np.timedelta64(middle_hr, "h")
            all_months_gchp_ref[t] = all_months_ref[t].astype(
                "datetime64[h]") + delta

    # ======================================================================
    # Dates and times -- Dev data
    # ======================================================================

    # Month/year strings for use in table subdirectories (e.g. Jan2016)
    bmk_mon_yr_strs_dev = [v + bmk_year_dev for v in bmk_mon_strs]

    # Get all months array of start datetimes for benchmark year
    bmk_start_dev = np.datetime64(bmk_year_dev + "-01-01")
    bmk_end_dev = np.datetime64("{}-01-01".format(int(bmk_year_dev) + 1))
    all_months_dev = np.arange(bmk_start_dev,
                               bmk_end_dev,
                               step=np.timedelta64(1, "M"),
                               dtype="datetime64[M]")
    all_months_gchp_dev = all_months_dev

    # Overwrite all_months_gchp_ref if GCHP ref is legacy filename format.
    # Legacy format uses time-averaging period mid-point not start.
    if config["data"]["dev"]["gchp"]["is_legacy"]:
        sec_per_yr_dev = 0
        all_months_gchp_dev = np.zeros(12, dtype="datetime64[h]")
        for t in range(12):
            days_in_mon = monthrange(int(bmk_year_dev), t + 1)[1]
            sec_per_yr_dev += days_in_mon * 86400.0
            middle_hr = int(days_in_mon * 24 / 2)
            delta = np.timedelta64(middle_hr, "h")
            all_months_gchp_dev[t] = all_months_dev[t].astype(
                "datetime64[h]") + delta

    # =======================================================================
    # Print the list of plots & tables to the screen
    # =======================================================================
    print("The following plots and tables will be created for {}:".format(
        bmk_type))
    if config["options"]["outputs"]["plot_conc"]:
        print(" - Concentration plots")
    if config["options"]["outputs"]["plot_wetdep"]:
        print(" - Convective and large-scale wet deposition plots")
    if config["options"]["outputs"]["rnpbbe_budget"]:
        print(" - Radionuclides budget table")
    if config["options"]["outputs"]["operations_budget"]:
        print(" - Operations budget table")
    if config["options"]["outputs"]["ste_table"]:
        print(" - Table of strat-trop exchange")
    if config["options"]["outputs"]["cons_table"]:
        print(" - Table of mass conservation")
    print("Comparisons will be made for the following combinations:")
    if config["options"]["comparisons"]["gcc_vs_gcc"]["run"]:
        print(" - GCC vs GCC")
    if config["options"]["comparisons"]["gchp_vs_gcc"]["run"]:
        print(" - GCHP vs GCC")
    if config["options"]["comparisons"]["gchp_vs_gchp"]["run"]:
        print(" - GCHP vs GCHP")

    # %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
    # Create GCC vs GCC benchmark plots and tables
    # %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
    if config["options"]["comparisons"]["gcc_vs_gcc"]["run"]:

        # ==================================================================
        # GCC vs GCC filepaths for StateMet collection data
        # ==================================================================
        refmet = get_filepaths(gcc_vs_gcc_refdir, "StateMet",
                               all_months_ref)[0]
        devmet = get_filepaths(gcc_vs_gcc_devdir, "StateMet",
                               all_months_dev)[0]

        # ==================================================================
        # GCC vs GCC species concentration plots
        # ==================================================================
        if config["options"]["outputs"]["plot_conc"]:
            print("\n%%% Creating GCC vs. GCC concentration plots %%%")

            # Only plot concentration categories for TransportTracers
            restrict_cats = ["RnPbBeTracers", "PassiveTracers"]

            # --------------------------------------------------------------
            # GCC vs GCC species concentration plots: Annual mean
            # --------------------------------------------------------------

            # Filepaths
            ref = get_filepaths(gcc_vs_gcc_refdir, "SpeciesConc",
                                all_months_ref)[0]
            dev = get_filepaths(gcc_vs_gcc_devdir, "SpeciesConc",
                                all_months_dev)[0]

            # Create plots
            bmk.make_benchmark_conc_plots(
                ref,
                gcc_vs_gcc_refstr,
                dev,
                gcc_vs_gcc_devstr,
                refmet=refmet,
                devmet=devmet,
                dst=gcc_vs_gcc_resultsdir,
                subdst="AnnualMean",
                time_mean=True,
                weightsdir=config["paths"]["weights_dir"],
                benchmark_type=bmk_type,
                restrict_cats=restrict_cats,
                overwrite=True,
                spcdb_dir=spcdb_dir,
            )

            # --------------------------------------------------------------
            # GCC vs GCC species concentration plots: Seasonal
            # --------------------------------------------------------------
            for t in range(bmk_n_months):
                mon_ind = bmk_mon_inds[t]
                bmk.make_benchmark_conc_plots(
                    ref[mon_ind],
                    gcc_vs_gcc_refstr,
                    dev[mon_ind],
                    gcc_vs_gcc_devstr,
                    refmet=refmet[mon_ind],
                    devmet=devmet[mon_ind],
                    dst=gcc_vs_gcc_resultsdir,
                    subdst=bmk_mon_yr_strs_dev[t],
                    weightsdir=config["paths"]["weights_dir"],
                    benchmark_type=bmk_type,
                    restrict_cats=restrict_cats,
                    overwrite=True,
                    spcdb_dir=spcdb_dir,
                )

        # ==================================================================
        # GCC vs GCC wet deposition plots
        # ==================================================================
        if config["options"]["outputs"]["plot_wetdep"]:
            print("\n%%% Creating GCC vs. GCC wet deposition plots %%%")

            # Diagnostic collection files to read
            cols = ["WetLossConv", "WetLossLS"]

            # Loop over collections
            for col in cols:

                # ----------------------------------------------------------
                # GCC vs. GCC wet deposition plots: Annual mean
                # ----------------------------------------------------------

                # Filepaths
                ref = get_filepaths(gcc_vs_gcc_refdir, col, all_months_ref)[0]
                dev = get_filepaths(gcc_vs_gcc_devdir, col, all_months_dev)[0]

                # Create plots
                bmk.make_benchmark_wetdep_plots(
                    ref,
                    gcc_vs_gcc_refstr,
                    dev,
                    gcc_vs_gcc_devstr,
                    refmet=refmet,
                    devmet=devmet,
                    dst=gcc_vs_gcc_resultsdir,
                    datestr="AnnualMean",
                    time_mean=True,
                    weightsdir=config["paths"]["weights_dir"],
                    benchmark_type=bmk_type,
                    collection=col,
                    overwrite=True,
                    spcdb_dir=spcdb_dir,
                )

                # ----------------------------------------------------------
                # GCC vs GCC wet deposition plots: Seasonal
                # ----------------------------------------------------------
                for t in range(bmk_n_months):
                    mon_ind = bmk_mon_inds[t]
                    bmk.make_benchmark_wetdep_plots(
                        ref[mon_ind],
                        gcc_vs_gcc_refstr,
                        dev[mon_ind],
                        gcc_vs_gcc_devstr,
                        refmet=refmet[mon_ind],
                        devmet=devmet[mon_ind],
                        dst=gcc_vs_gcc_resultsdir,
                        datestr=bmk_mon_yr_strs_dev[t],
                        weightsdir=config["paths"]["weights_dir"],
                        benchmark_type=bmk_type,
                        collection=col,
                        overwrite=True,
                        spcdb_dir=spcdb_dir,
                    )

        # ==================================================================
        # GCC vs GCC radionuclides budget tables
        # ==================================================================
        if config["options"]["outputs"]["rnpbbe_budget"]:
            print("\n%%% Creating GCC vs. GCC radionuclides budget table %%%")
            ttbdg.transport_tracers_budgets(
                config["data"]["dev"]["gcc"]["version"],
                gcc_vs_gcc_devdir,
                gcc_vs_gcc_devrstdir,
                int(bmk_year_dev),
                dst=gcc_vs_gcc_tablesdir,
                overwrite=True,
                spcdb_dir=spcdb_dir,
            )

        # ==================================================================
        # GCC vs GCC operations budgets tables
        # ==================================================================
        if config["options"]["outputs"]["operations_budget"]:
            print("\n%%% Creating GCC vs. GCC operations budget tables %%%")

            # Filepaths
            refs = get_filepaths(gcc_vs_gcc_refdir, "Budget",
                                 all_months_ref)[0]
            devs = get_filepaths(gcc_vs_gcc_devdir, "Budget",
                                 all_months_dev)[0]

            # Create table
            bmk.make_benchmark_operations_budget(
                config["data"]["ref"]["gcc"]["version"],
                refs,
                config["data"]["dev"]["gcc"]["version"],
                devs,
                sec_per_yr_ref,
                sec_per_yr_dev,
                benchmark_type=bmk_type,
                label=bmk_year_dev,
                operations=[
                    "Chemistry",
                    "Convection",
                    "EmisDryDep",
                    "Mixing",
                    "WetDep",
                ],
                compute_accum=False,
                dst=gcc_vs_gcc_tablesdir,
            )

        # ==================================================================
        # GCC dev strat-trop exchange table
        # ==================================================================
        if config["options"]["outputs"]["ste_table"]:
            print("\n%%% Creating GCC vs. GCC Strat-Trop Exchange table %%%")

            # Diagnostic collection files to read (all 12 months)
            devs = get_filepaths(gcc_vs_gcc_devdir, "AdvFluxVert",
                                 all_months_dev)[0]

            # Make stat-trop exchange table for subset of species
            ste.make_benchmark_ste_table(
                config["data"]["dev"]["gcc"]["version"],
                devs,
                int(bmk_year_dev),
                dst=gcc_vs_gcc_tablesdir,
                bmk_type=bmk_type,
                species=["Pb210", "Be7", "Be10"],
                overwrite=True,
            )

    # %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
    # Create GCHP vs GCC benchmark plots and tables
    # %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
    if config["options"]["comparisons"]["gchp_vs_gcc"]["run"]:

        # ==================================================================
        # GCHP vs GCC filepaths for StateMet collection data
        #
        # (1) GCHP (Dev) and GCC (Ref) use the same benchmark year.
        # (2) The GCC version in "GCHP vs GCC" is the Dev of "GCC vs GCC".
        # ==================================================================
        refmet = get_filepaths(gchp_vs_gcc_refdir, "StateMet",
                               all_months_dev)[0]
        devmet = get_filepaths(
            gchp_vs_gcc_devdir,
            gchp_metname(config["data"]["dev"]["gchp"]["prior_to_13"]),
            all_months_gchp_dev,
            is_gchp=True,
            gchp_format_is_legacy=config["data"]["dev"]["gchp"]["is_legacy"],
        )[0]

        # ==================================================================
        # GCHP vs GCC species concentration plots
        # ==================================================================
        if config["options"]["outputs"]["plot_conc"]:
            print("\n%%% Creating GCHP vs. GCC concentration plots %%%")

            # Only plot concentration categories for TransportTracers
            restrict_cats = ["RnPbBeTracers", "PassiveTracers"]

            # --------------------------------------------------------------
            # GCHP vs GCC species concentration plots: Annual Mean
            # --------------------------------------------------------------

            # Filepaths
            ref = get_filepaths(gchp_vs_gcc_refdir, "SpeciesConc",
                                all_months_dev)[0]
            dev = get_filepaths(
                gchp_vs_gcc_devdir,
                "SpeciesConc",
                all_months_gchp_dev,
                is_gchp=True,
                gchp_format_is_legacy=config["data"]["dev"]["gchp"]
                ["is_legacy"],
            )[0]

            # Create plots
            bmk.make_benchmark_conc_plots(
                ref,
                gchp_vs_gcc_refstr,
                dev,
                gchp_vs_gcc_devstr,
                refmet=refmet,
                devmet=devmet,
                dst=gchp_vs_gcc_resultsdir,
                subdst="AnnualMean",
                time_mean=True,
                weightsdir=config["paths"]["weights_dir"],
                benchmark_type=bmk_type,
                restrict_cats=restrict_cats,
                overwrite=True,
                spcdb_dir=spcdb_dir,
            )

            # --------------------------------------------------------------
            # GCHP vs GCC species concentration plots: Seasonal
            # --------------------------------------------------------------
            for t in range(bmk_n_months):
                mon_ind = bmk_mon_inds[t]
                bmk.make_benchmark_conc_plots(
                    ref[mon_ind],
                    gchp_vs_gcc_refstr,
                    dev[mon_ind],
                    gchp_vs_gcc_devstr,
                    refmet=refmet[mon_ind],
                    devmet=devmet[mon_ind],
                    dst=gchp_vs_gcc_resultsdir,
                    subdst=bmk_mon_yr_strs_dev[t],
                    weightsdir=config["paths"]["weights_dir"],
                    benchmark_type=bmk_type,
                    restrict_cats=restrict_cats,
                    overwrite=True,
                    spcdb_dir=spcdb_dir,
                )

        # ==================================================================
        # GCHP vs GCC wet deposition plots
        # ==================================================================
        if config["options"]["outputs"]["plot_wetdep"]:
            print("\n%%% Creating GCHP vs. GCC wet deposition plots %%%")

            # Create separate set of plots for each wetdep collection
            cols = ["WetLossConv", "WetLossLS"]

            # Create plots for each collection and benchmark month
            for col in cols:

                # ----------------------------------------------------------
                # GCHP vs GCC wet deposition plots: Annual mean
                # ----------------------------------------------------------

                # Filepaths
                ref = get_filepaths(gchp_vs_gcc_refdir, col, all_months_dev)[0]
                dev = get_filepaths(
                    gchp_vs_gcc_devdir,
                    col,
                    all_months_gchp_dev,
                    is_gchp=True,
                    gchp_format_is_legacy=config["data"]["dev"]["gchp"]
                    ["is_legacy"],
                )[0]

                # Create plots
                bmk.make_benchmark_wetdep_plots(
                    ref,
                    gchp_vs_gcc_refstr,
                    dev,
                    gchp_vs_gcc_devstr,
                    devmet=devmet,
                    collection=col,
                    dst=gchp_vs_gcc_resultsdir,
                    datestr="AnnualMean",
                    time_mean=True,
                    weightsdir=config["paths"]["weights_dir"],
                    overwrite=True,
                    benchmark_type=bmk_type,
                    normalize_by_area=True,
                    spcdb_dir=spcdb_dir,
                )

                # ----------------------------------------------------------
                # GCHP vs GCC wet deposition plots: Seasonal
                # ----------------------------------------------------------
                for t in range(bmk_n_months):
                    mon_ind = bmk_mon_inds[t]
                    bmk.make_benchmark_wetdep_plots(
                        ref[mon_ind],
                        gchp_vs_gcc_refstr,
                        dev[mon_ind],
                        gchp_vs_gcc_devstr,
                        refmet=refmet[mon_ind],
                        devmet=devmet[mon_ind],
                        collection=col,
                        dst=gchp_vs_gcc_resultsdir,
                        datestr=bmk_mon_yr_strs_dev[t],
                        weightsdir=config["paths"]["weights_dir"],
                        overwrite=True,
                        benchmark_type=bmk_type,
                        normalize_by_area=True,
                        spcdb_dir=spcdb_dir,
                    )

        # ==================================================================
        # GCHP vs GCC radionuclides budget tables
        # ==================================================================
        if config["options"]["outputs"]["rnpbbe_budget"]:
            print("\n%%% Creating GCHP vs. GCC radionuclides budget table %%%")
            ttbdg.transport_tracers_budgets(
                config["data"]["dev"]["gchp"]["version"],
                gchp_vs_gcc_devdir,
                gchp_vs_gcc_devrstdir,
                int(bmk_year_dev),
                dst=gchp_vs_gcc_tablesdir,
                is_gchp=True,
                overwrite=True,
                spcdb_dir=spcdb_dir,
            )

        # ==================================================================
        # GCHP vs GCC operations budgets tables
        # ==================================================================
        if config["options"]["outputs"]["operations_budget"]:
            print("\n%%% Creating GCHP vs. GCC operations budget tables %%%")

            # Filepaths
            col = "Budget"
            refs = get_filepaths(gchp_vs_gcc_refdir, "Budget",
                                 all_months_dev)[0]
            devs = get_filepaths(
                gchp_vs_gcc_devdir,
                col,
                all_months_gchp_dev,
                is_gchp=True,
                gchp_format_is_legacy=config["data"]["dev"]["gchp"]
                ["is_legacy"],
            )[0]

            # Make operations budget table
            bmk.make_benchmark_operations_budget(
                config["data"]["dev"]["gcc"]["version"],
                refs,
                config["data"]["dev"]["gchp"]["version"],
                devs,
                sec_per_yr_ref,
                sec_per_yr_dev,
                benchmark_type=bmk_type,
                label=bmk_year_dev,
                operations=[
                    "Chemistry",
                    "Convection",
                    "EmisDryDep",
                    "Mixing",
                    "WetDep",
                ],
                compute_accum=False,
                dst=gchp_vs_gcc_tablesdir,
            )

    # %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
    # Create GCHP vs GCHP benchmark plots and tables
    # %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
    if config["options"]["comparisons"]["gchp_vs_gchp"]["run"]:

        # ==================================================================
        # GCHP vs GCHP filepaths for StateMet collection data
        # ==================================================================
        refmet = get_filepaths(
            gchp_vs_gchp_refdir,
            gchp_metname(config["data"]["ref"]["gchp"]["prior_to_13"]),
            all_months_gchp_ref,
            is_gchp=True,
            gchp_format_is_legacy=config["data"]["ref"]["gchp"]["is_legacy"],
        )[0]
        devmet = get_filepaths(
            gchp_vs_gchp_devdir,
            gchp_metname(config["data"]["dev"]["gchp"]["prior_to_13"]),
            all_months_gchp_dev,
            is_gchp=True,
            gchp_format_is_legacy=config["data"]["dev"]["gchp"]["is_legacy"],
        )[0]

        # ==================================================================
        # GCHP vs GCHP species concentration plots
        # ==================================================================
        if config["options"]["outputs"]["plot_conc"]:
            print("\n%%% Creating GCHP vs. GCHP concentration plots %%%")

            # Only plot concentration categories for TransportTracers
            restrict_cats = ["RnPbBeTracers", "PassiveTracers"]

            # --------------------------------------------------------------
            # GCHP vs GCHP species concentration plots: Annual Mean
            # --------------------------------------------------------------

            # Filepaths
            ref = get_filepaths(
                gchp_vs_gchp_refdir,
                "SpeciesConc",
                all_months_gchp_ref,
                is_gchp=True,
                gchp_format_is_legacy=config["data"]["ref"]["gchp"]
                ["is_legacy"],
            )[0]
            dev = get_filepaths(
                gchp_vs_gchp_devdir,
                "SpeciesConc",
                all_months_gchp_dev,
                is_gchp=True,
                gchp_format_is_legacy=config["data"]["dev"]["gchp"]
                ["is_legacy"],
            )[0]

            # Make concentration plots
            bmk.make_benchmark_conc_plots(
                ref,
                gchp_vs_gchp_refstr,
                dev,
                gchp_vs_gchp_devstr,
                refmet=refmet,
                devmet=devmet,
                dst=gchp_vs_gchp_resultsdir,
                subdst="AnnualMean",
                time_mean=True,
                weightsdir=config["paths"]["weights_dir"],
                benchmark_type=bmk_type,
                restrict_cats=restrict_cats,
                overwrite=True,
                spcdb_dir=spcdb_dir,
            )

            # --------------------------------------------------------------
            # GCHP vs GCHP species concentration plots: Seasonal
            # --------------------------------------------------------------
            for t in range(bmk_n_months):
                mon_ind = bmk_mon_inds[t]
                bmk.make_benchmark_conc_plots(
                    ref[mon_ind],
                    gchp_vs_gchp_refstr,
                    dev[mon_ind],
                    gchp_vs_gchp_devstr,
                    refmet=refmet[mon_ind],
                    devmet=devmet[mon_ind],
                    dst=gchp_vs_gchp_resultsdir,
                    subdst=bmk_mon_yr_strs_dev[t],
                    weightsdir=config["paths"]["weights_dir"],
                    benchmark_type=bmk_type,
                    restrict_cats=restrict_cats,
                    overwrite=True,
                    spcdb_dir=spcdb_dir,
                )

        # ==================================================================
        # GCHP vs GCHP wet deposition plots
        # ==================================================================
        if config["options"]["outputs"]["plot_wetdep"]:
            print("\n%%% Creating GCHP vs. GCHP wet deposition plots %%%")

            # Create separate set of plots for each wetdep collection
            cols = ["WetLossConv", "WetLossLS"]

            # Create plots for each collection and benchmark month
            for col in cols:

                # ----------------------------------------------------------
                # GCHP vs GCHP wet deposition plots: Annual Mean
                # ----------------------------------------------------------

                # Filepaths
                ref = get_filepaths(
                    gchp_vs_gchp_refdir,
                    col,
                    all_months_gchp_ref,
                    is_gchp=True,
                    gchp_format_is_legacy=config["data"]["ref"]["gchp"]
                    ["is_legacy"],
                )[0]
                dev = get_filepaths(
                    gchp_vs_gchp_devdir,
                    col,
                    all_months_gchp_dev,
                    is_gchp=True,
                    gchp_format_is_legacy=config["data"]["dev"]["gchp"]
                    ["is_legacy"],
                )[0]

                # Create plots
                bmk.make_benchmark_wetdep_plots(
                    ref,
                    gchp_vs_gchp_refstr,
                    dev,
                    gchp_vs_gchp_devstr,
                    refmet=refmet,
                    devmet=devmet,
                    collection=col,
                    dst=gchp_vs_gchp_resultsdir,
                    datestr="AnnualMean",
                    time_mean=True,
                    weightsdir=config["paths"]["weights_dir"],
                    overwrite=True,
                    benchmark_type=bmk_type,
                    normalize_by_area=True,
                    spcdb_dir=spcdb_dir,
                )

                # ----------------------------------------------------------
                # GCHP vs GCHP wet deposition plots: Seasonal
                # ----------------------------------------------------------
                for t in range(bmk_n_months):
                    mon_ind = bmk_mon_inds[t]
                    bmk.make_benchmark_wetdep_plots(
                        ref[mon_ind],
                        gchp_vs_gchp_refstr,
                        dev[mon_ind],
                        gchp_vs_gchp_devstr,
                        refmet=refmet[mon_ind],
                        devmet=devmet[mon_ind],
                        collection=col,
                        dst=gchp_vs_gchp_resultsdir,
                        datestr=bmk_mon_yr_strs_dev[t],
                        weightsdir=config["paths"]["weights_dir"],
                        overwrite=True,
                        benchmark_type=bmk_type,
                        normalize_by_area=True,
                        spcdb_dir=spcdb_dir,
                    )

        # ==================================================================
        # GCHP vs GCHP radionuclides budget table
        # ==================================================================
        if config["options"]["outputs"]["rnpbbe_budget"]:
            print(
                "\n%%% Creating GCHP vs. GCHP radionuclides budget table %%%")
            ttbdg.transport_tracers_budgets(
                config["data"]["dev"]["gchp"]["version"],
                gchp_vs_gchp_devdir,
                gchp_vs_gchp_devrstdir,
                int(bmk_year_dev),
                dst=gchp_vs_gchp_tablesdir,
                is_gchp=True,
                overwrite=True,
                spcdb_dir=spcdb_dir,
            )

        # ==================================================================
        # GCHP vs GCHP operations budgets tables
        # ==================================================================
        if config["options"]["outputs"]["operations_budget"]:
            print("\n%%% Creating GCHP vs. GCHP operations budget tables %%%")

            # Filepaths
            refs = get_filepaths(
                gchp_vs_gchp_refdir,
                "Budget",
                all_months_gchp_ref,
                is_gchp=True,
                gchp_format_is_legacy=config["data"]["ref"]["gchp"]
                ["is_legacy"],
            )[0]
            devs = get_filepaths(
                gchp_vs_gchp_devdir,
                "Budget",
                all_months_gchp_dev,
                is_gchp=True,
                gchp_format_is_legacy=config["data"]["dev"]["gchp"]
                ["is_legacy"],
            )[0]

            # Create table
            bmk.make_benchmark_operations_budget(
                config["data"]["dev"]["gchp"]["version"],
                refs,
                config["data"]["dev"]["gchp"]["version"],
                devs,
                sec_per_yr_ref,
                sec_per_yr_dev,
                benchmark_type=bmk_type,
                label=bmk_year_dev,
                operations=[
                    "Chemistry",
                    "Convection",
                    "EmisDryDep",
                    "Mixing",
                    "WetDep",
                ],
                compute_accum=False,
                dst=gchp_vs_gchp_tablesdir,
            )

    # %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%#
    # Create mass conservations tables for GCC and GCHP
    # %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
    if config["options"]["outputs"]["cons_table"]:

        # ======================================================================
        # Create mass conservation table for GCC_dev
        # ======================================================================
        if (config["options"]["comparisons"]["gcc_vs_gcc"]["run"]
                or config["options"]["comparisons"]["gchp_vs_gcc"]["run"]):
            print("\n%%% Creating GCC dev mass conservation table %%%")

            # Filepaths
            datafiles = get_filepaths(gcc_vs_gcc_devrstdir, "Restart",
                                      all_months_dev)[0]

            # Pick output folder
            if config["options"]["comparisons"]["gchp_vs_gcc"]["run"]:
                tablesdir = gchp_vs_gcc_tablesdir
            else:
                tablesdir = gcc_vs_gcc_tablesdir

            # Create table
            bmk.make_benchmark_mass_conservation_table(
                datafiles,
                config["data"]["dev"]["gcc"]["version"],
                dst=tablesdir,
                overwrite=True,
                spcdb_dir=spcdb_dir,
            )

        # ======================================================================
        # Create mass conservation table for GCHP_dev
        # ======================================================================
        if (config["options"]["comparisons"]["gchp_vs_gcc"]["run"]
                or config["options"]["comparisons"]["gchp_vs_gchp"]["run"]):
            print("\n%%% Creating GCHP dev mass conservation table %%%")

            # Filepaths
            datafiles = get_filepaths(
                gchp_vs_gcc_devrstdir,
                "Restart",
                all_months_dev,
                is_gchp=True,
                gchp_format_is_legacy=config["data"]["dev"]["gchp"]
                ["is_legacy"],
            )[0]

            # Pick output folder
            if config["options"]["comparisons"]["gchp_vs_gcc"]["run"]:
                tablesdir = gchp_vs_gcc_tablesdir
            else:
                tablesdir = gchp_vs_gchp_tablesdir

            # Create table
            bmk.make_benchmark_mass_conservation_table(
                datafiles,
                config["data"]["dev"]["gchp"]["version"],
                dst=tablesdir,
                overwrite=True,
                spcdb_dir=spcdb_dir,
            )
Пример #7
0
gchp_vs_gchp_devcac = join(maindir, gchp_vs_gchp_devdir, gchp_cacfile)

# =====================================================================
# Create GCC vs GCC benchmark plots and tables
# =====================================================================

if gcc_vs_gcc:

    if plot_conc:
        # Concentration plots
        # (includes lumped species and separates by category)
        print('\n%%% Creating GCC vs. GCC concentration plots %%%')
        bmk.make_benchmark_conc_plots(gcc_vs_gcc_refspc,
                                      gcc_vs_gcc_refstr,
                                      gcc_vs_gcc_devspc,
                                      gcc_vs_gcc_devstr,
                                      dst=gcc_vs_gcc_plotsdir,
                                      overwrite=True,
                                      sigdiff_files=gcc_vs_gcc_sigdiff)

    if plot_emis:
        # Emissions plots
        print('\n%%% Creating GCC vs. GCC emissions plots %%%')
        bmk.make_benchmark_emis_plots(gcc_vs_gcc_refhco,
                                      gcc_vs_gcc_refstr,
                                      gcc_vs_gcc_devhco,
                                      gcc_vs_gcc_devstr,
                                      dst=gcc_vs_gcc_plotsdir,
                                      plot_by_benchmark_cat=True,
                                      plot_by_hco_cat=True,
                                      overwrite=True,